countries

Student ratings of 13 countries on six attributes.

datasets

Simple Principal Components Analysis (PCA) and (Multiple)
Correspondence Analysis (CA) based on the Singular Value Decomposition
(SVD). This package provides S4 classes and methods to compute,
extract, summarize and visualize results of multivariate data
analysis. It also includes methods for partial bootstrap validation
described in Greenacre (1984, ISBN: 978-0-12-299050-2) and Lebart et
al. (2006, ISBN: 978-2-10-049616-7).

Nicolas Frerebeau

dimensio

Multivariate Data Analysis

Jean-Baptiste Fourvel

Brice Lebrun

Université Bordeaux Montaigne 

CNRS 

countries function

A <code><a href="/link/data.frame?package=dimensio&version=0.9.0" data-mini-rdoc="dimensio::data.frame">data.frame</a></code> with 6 columns (attributes) and 13 rows (countries).

Format

Countries — countries

A <code><a href='https://rdrr.io/r/base/data.frame.html'>data.frame</a></code> with 6 columns (attributes) and 13 rows (countries).

countries: Countries

Description

Usage

Arguments

Format

See Also